Dangerous Spaces: Kenya’s Public Universities as a Locus for Sexual and Gender-Based Violence – A Case Study of Egerton University, Njoro Campus
Bibliographic record
Abstract
Les institutions de haut savoir tout specialement les universites publiques au Kenya sont devenues de plus en plus dangereuses et offrent aucune securite aux eleves et la presence du groupe Sexual and Gender Based Violence (SGBV) y voit. Les etudiantes sur le campus, particulierement celles qui sont handicapees et qui frequentent l’universite Egerton (UE), le campus Njoro continuent a subir des agressions multiples dont la violence physique, sexuelle et psychologique et des sevices ou gestes envers les hommes et les femmes de la part des collegues, des professeurs, des membres de la communaute tout autant que des aidants. Cette etude documente les causes, les formes et les impacts et identifie une action pour remedier a cette situation et elabore des strategies pour arreter cette violence. Cette etude sera menee par « Ground Theory » selon sa methodologie preferee.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".